With the changes in spatial structure of China’s economic development, urban clusters have become primary carriers regional economy and green growth. We used annual data from 2010 to 2021 study carbon emission characteristics reduction pathways 36 cities Yangtze River Delta region. Firstly, based on decoupling elasticity coefficient intensity index, researchers divided into six types emissions. Then, STIRPAT model was regress panel different for 11 years, analyze driving factors emissions,...

The illumination design is an important factor affecting driving safety at tunnel entrance and exit. By analyzing lightness change character visual adaptation mechanism exit, the transition index has been developed. Due to shortage of accident statistics indirect analysis method was adopted operating speed difference selected as medium evaluate safety. Based on theoretical statistical analysis, relation between exit modeled. At last, recommendation for designing safer condition discussed.

With the changes in spatial structure of China's economic development, urban clusters have become primary carriers regional economy and green growth. The article uses annual data from 2010 to 2021 study carbon emission characteristics reduction pathways 36 cities Yangtze River Delta region. Firstly, region are divided into six types based on decoupling elasticity coefficient intensity indicators. Then, STIRPAT model is used regress panel different for 11 years, analyze driving...

Emergency logistics level directly affects the control of all kinds unexpected events.Therefore emergency got more and attention government, as well academic circle.Many researches have been made on logistics, especially review articles.However, there is no literature from perspective visualized analysis.To about theory system, research hotspot frontier provide some reference related for Chinese scholars, a visualization analysis was to quantify data statistics WOS, main published authors,...

<title>Abstract</title> As China's economy and society continue to develop industrialization progresses,the nation faces significant challenges,including air pollution global warming.The carbon trading policy,acknowledged as a pivotal tool in achieving the "double-carbon" goal,has garnered considerable attention.This study utilizes panel data from Pearl River-Xijiang Economic Belt spanning 2008 2021. Employing Synthetic Control Model (SCM) Space Difference-in-Differences (S-DID),it examines...

Abstract: China faces issues such as air pollution and global climate change, the Carbon Emission Trading Policy (CETP) has attracted considerable attention a core policy tool for achieving "dual carbon" goals. Based on panel data from Pearl River–West River Economic Belt (PRWREB) 2008 to 2021, we use Synthetic Control Method (SCM) Spatial Difference-in-Differences (S-DID) models explore reduction carbon effects of CETP its spatial heterogeneity. Our analysis reveals several interesting...

This paper studies the innovation diffusion problem with affection of urbanization, proposing a dynamical model fuzzy coefficient, and uses shifting rate people from rural areas stepping into urban to show process urbanization. The numerical simulation shows for telephones in China Genetic Algorithms this is effective condition urbanization process.

Most literatures prefer loan-to-value ratios (LTV) decisions in supply chain finance (SCF) on the way of profit maximization.This paper attempts to discuss relationship between LTV and market risk loan inventory financing SCF from perspective value at (VaR) for critical corresponding extreme VaR prevent bank risks caused by under position price-decline commodity market.Different traditional method only considering asset value, we incorporate borrower's financial procurement positions into...

Retracted.

This paper proposed a novel adaptive neuro-fuzzy inference system (ANFIS), which combines subtract clustering, employs Hamacher T-norm and improves the prediction ability of ANFIS. The expression multiinput its relative feather has been originally given, supports operation system. Empirical study testified that model overweighs early work in aspect benchmark Box- Jenkins dataset may provide practical way to measure importance each rule.

Picking the volume of Guangxi -ASEAN trade and total social logistics in 2002-2014 as time series data, using grey correlation analysis method to study relationship between growth logistics.The empirical results show that there is a positive growth, at same they has played stronger role driving forward, so promote rapid development conducive not only continuing logistics, but also boosting economic Guangxi., including 1, 2,3, , (2) The second step: Applies dimensionless variable.The...

The Belt and Road" ASEAN International Channel Strategy of Guangxi logistics transportation network layout infrastructure has put forward higher requirements, the construction in is not perfect, transport dispersed, inefficient other issues, for classification multimodal hub will be able to realize integration, improve overall efficiency network, comprehensive efficiency.The selection 14 city nodes, constructing evaluation index system classification, combined with GDP, total investment...

Subgrade soils are very important materials to support highways. Resilient modulus (Mr) has been used for characterizing stress-strain behavior of subgrade subjected repeated traffic loadings. Several constitutive equations have suggested estimate the resilient modulus. The main objective this study was validate predictability existing and evaluate use one or more those in predicting cohesive Shanghai. Two predictive models regression coefficients k1, k2, k3 obtained from lab tests...

This paper uses GMDH method to establish a prediction model forecast the number of civil vehicles owned in Guangxi, since original samples vehicle population Guangxi are less enough be used with traditional methods. Compared linear regression and artificial neural network, predicted results show that is an effective way predict car ownership small sample history data complex economic system.

This paper uses GMDH method to establish a prediction model forecast the output value of transport & storage Guangdong in China, since original samples are less enough be used with traditional methods. Compared linear regression and artificial neural network, predicted results show that is an effective way predict car ownership small sample history data complex economic system.